Can we predict diatoms herbicide sensitivities with phylogeny? Influence of intraspecific and interspecific variability
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Diatoms are used as indicators of freshwater ecosystems integrity. Developing diatom-based tools to assess impact of herbicide pollution is expected by water managers. But, defining sensitivities of all species to multiple herbicides would be unattainable. The existence of a phylogenetic signal of herbicide sensitivity was shown among diatoms and should enable prediction of new species sensitivity. However, diatoms present a cryptic diversity that may lead to variation in their sensitivity to herbicides that would need to be taken into account. Using bioassays, the sensitivity to four herbicides (Atrazine, Terbutryn, Diuron, Isoproturon) was evaluated for 11 freshwater diatom taxa and intraspecific variability was assessed for two of them (Nitzschia palea and Achnanthidium spp.). Intraspecific variability of herbicide sensitivity was always smaller than interspecific variability, but intraspecific variability was more important in N. palea than in Achnanthidium spp. Indeed, one species showed no intraspecific phylogenetic signal (N. palea) whereas the other did (Achnanthidium spp.). On one hand, species boundaries are not set properly for Achnanthidium spp. which encompass several taxa. On the other hand, there is a higher phenotypic plasticity for N. palea. Finally, a phylogenetic signal of herbicide sensitivity was measured at the interspecific level, opening up prospects for setting up reliable biomonitoring tools based on sensitivity prediction, insofar as species boundaries are correctly defined.
KeywordsBacillariophyta Cryptic diversity Ecological assessment EC50 Micropollutant Species boundaries
This study was financed by Onema (Office National de l’Eau et des Milieux Aquatiques), INRA (Projet Innovant Comipho) and two Erasmus fundings. Elean Ghiglione, Meline Corniquel and Sonia Lacroix are thanked for their technical assistance. The paper was revised by American Editors (c).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no competing interests.
This research do not involve human participants nor animals
- Abouheif E (1999) A method for testing the assumption of phylogenetic independence in comparative data. Evolut Ecol Res 1:895–909Google Scholar
- ASTM (1998) Standard Guide for Conducting Static 96h Toxicity Tests with Microalgae. E1218–90, American Society for Testing and Materials: Philadelphia, PAGoogle Scholar
- Bolker B, Butler M, Cowan P, Vienne D de, Eddelbuettel D, Holder M, Jombart T, Kembel S, Michonneau F, Orme D, O’Meara B, Paradis E, Regetz J, Zwickl D (2014) phylobase: Base package for phylogenetic structures and comparative data. Retrieved from http://cran.r-project.org/package=phylobase
- Ector L (2011) European workshop on diatom taxonomy. Arch Hydrobiol Suppl Algol Stud 136:1–4Google Scholar
- European Parliament (2000) Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy. Official Journal of the European Union L 327Google Scholar
- Guénard G, Legendre P (2015) Modeling phylogenetic signals using Eigenvector maps. Package ‘MPSEM’. CRANGoogle Scholar
- Hoffman G, Werum M, Lange-Bertalot H (2011) Diatomeen im Süsswasser-benthos von Mitteleuropa. ARG Gantner Verlag KG Rugell, Germany, p 908Google Scholar
- Hulbikova D, Ector L, Hoffmann L (2011) Examination of the type material of some diatom species related to Achnanthidium minutissimum (Kütz.) Czarn. (Bacillariophyceae). Arch Hydrobiol Suppl Algol Stud 136/137:19–43Google Scholar
- Poulíčková A (2008) Morphology, cytology and sexual reproduction in the aerophytic cave diatom Luticola dismutica (Bacillariophyceae). Preslia 80:87–99Google Scholar
- R Development Core Team R (2011) R: a language and environment for statistical computing. The R Foundation for Statistical Computing, Vienna, Austria. Available online at http://www.R-project.org/
- Roubeix V, Mazzella N, Schouler L, Fauvelle V, Morin S, Coste M, Delmas F, Margoum C (2011) Variations of periphytic diatom sensitivity to the herbicide diuron and relation to species distribution in a contamination gradient: implications for biomonitoring. J Environ Monit 13:1768–1774CrossRefGoogle Scholar
- Roubeix V, Pesce S, Mazzela N, Coste M, Delmas F (2012) Variations in periphytic diatom tolerance to agricultural pesticides in a contaminated river: analysis at different diversity levels. Fresenius Environ Bull 21:2090–2094Google Scholar
- Rovira L (2013) The ecology and taxonomy of estuarine benthic diatoms and their use as bioindicators in a highly stratified estuary (Ebra Estuary, NE Iberian Peninsula): a multidisciplinary apporach. PhD dissertation, University of Barcelona, p. 295Google Scholar
- Tavaré S (1986) Some probabilistic and statistical problems in the analysis of DNA sequences. Lect Math Life Sci 17:57–86Google Scholar
- Wojtal AZ, Ector L, Van de Vijver B, Morales E, Blanco S, Piatek J, Smieja A (2011) The Achnanthidium minutissimum complex (Bacillariophyceae) in southern Poland. Arch Hydrobiol Suppl Algol Stud 136:211–238Google Scholar